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English(EN) Our booking API worked. Assistants still could not find the door

开发者在ChatGPT失败后添加了对AI友好的预订访问

一位开发者构建了一个预订API和一个MCP服务器,允许助手进行真实的餐厅预订,但发现ChatGPT无法使用它。问题源于API的信息隐藏在React组件和元标签中,而浏览模型通常不会访问这些信息。为了解决这个问题,开发者实现了四个新的预订入口点,包括一个直接的可用性URL和一个简化的预订页面,并确保将清晰的说明放置在AI助手会查找的地方,例如在`llms.txt`文件中。 AI

影响 突显了使结构化数据可供AI助手访问的挑战,以及对明确的AI友好文档的需求。

排序理由 该项目描述了一个现有产品(预订API)的技术修复,以改善其与AI助手的集成,而不是新产品发布或前沿发布。

在 dev.to — MCP tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开发者在ChatGPT失败后添加了对AI友好的预订访问

本文如何被排名

Signal score
33 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该项目描述了一个现有产品(预订API)的技术修复,以改善其与AI助手的集成,而不是新产品发布或前沿发布。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Elena Dev ·

    我们的预订 API 奏效了。助手们仍然找不到门

    <p>In August I put a public booking API online, and then an MCP server on top of it. No key, no account. Any assistant could read live availability at a restaurant and create a real booking with a confirmation ID. In our own tests it worked on the first try.</p> <p>A few days lat…